| 9 Jul 2024 |
 SomeoneSerge (back on matrix) | These are only distributed with the jetpack, right? | 06:29:34 |
| SomeoneSerge (back on matrix) | Redacted or Malformed Event | 06:35:01 |
 hacker1024 | Yep, luckily Jetpack-NixOS has all the samples packages | 06:49:01 |
| hacker1024 | * Yep, luckily Jetpack-NixOS has all the samples packaged | 06:49:06 |
| hacker1024 | Just needs some overlay weirdness to use CUDA from Nixpkgs now | 06:49:37 |
| hacker1024 | Speaking of which, is tensorrt supposed to work on aarch64? Because it's evaluating as both broken and unsupported
` nix-instantiate -I nixpkgs=channel:nixos-unstable '<nixpkgs>' --argstr localSystem aarch64-linux --arg config '{ cudaSupport = true; allowUnfree = true; }' -A cudaPackages.tensorrt` | 06:50:38 |
| hacker1024 | * Speaking of which, is tensorrt supposed to work on aarch64? Because it's evaluating as both broken and unsupported when running the following
`nix-instantiate -I nixpkgs=channel:nixos-unstable '<nixpkgs>' --argstr localSystem aarch64-linux --arg config '{ cudaSupport = true; allowUnfree = true; }' -A cudaPackages.tensorrt` | 06:50:57 |
| SomeoneSerge (back on matrix) | Not sure, tensorrt isn't receiving enough love:) | 07:11:44 |
| SomeoneSerge (back on matrix) | https://github.com/NixOS/nixpkgs/issues/323124 | 07:12:14 |
| SomeoneSerge (back on matrix) | Jonas Chevalier hexa (UTC+1) a question about release-lib.nix: my impression is that supportedPlatforms is the conventional way to describe a "matrix" of jobs; for aarch64-linux, I'd like to define a matrix over individual capabilities because aarch64-linux mostly means embedded/jetson SBCs; currently this means importing nixpkgs with different config.cudaCapabilities values... any thoughts on how to express this in a not-too-ad-hoc way? | 18:07:33 |
 connor (burnt/out) (UTC-8) | Kevin Mittman: is there any reason the TensorRT tarball exploded in size for the 10.2 release? It's clocking in at over 4GB, nearly twice the size it was for 10.1 (~2GB).
[connorbaker@nixos-desktop:~/cuda-redist-find-features]$ ./tensorrt/helper.sh 12.5 10.2.0.19 linux-x86_64
[582.9/4140.3 MiB DL] downloading 'https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.2.0/tars/TensorRT-10.2.0.19.Linux.x86_64-gnu.cuda-12.5.tar.gz'
| 18:56:10 |
